Scholar
Harkirat Behl
Google Scholar ID: R7k23-0AAAAJ
Microsoft Research
Deep Learning
Synthetic Data
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Citations & Impact
All-time
Citations
4,827
H-index
16
i10-index
18
Publications
20
Co-authors
63
list available
Contact
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Publications
2 items
AI Scientist via Synthetic Task Scaling
2026
Cited
0
Sample More to Think Less: Group Filtered Policy Optimization for Concise Reasoning
2025
Cited
0
Resume (English only)
Academic Achievements
- Phi-4 technical report, 2024, arXiv
- Phi-3: A Highly Capable Language Model Locally on Your Phone, 2024, arXiv
- Peekaboo: Interactive Video Generation via Masked-Diffusion, CVPR 2024
- Scaling the Convex Barrier with Sparse Dual Solvers, JMLR 2024
Research Experience
- Member of Technical Staff at Microsoft Research
- Involved in projects such as the Phi-4 technical report and the Phi-3 series of models
Education
- PhD, University of Oxford, 2021, Advisors: Philip Torr, M. Pawan Kumar
- BTech, Indian Institute of Technology, Kanpur, 2018
Background
Member of Technical Staff at Microsoft Research, with research interests in artificial intelligence and language models.
Co-authors
63 total
Philip Torr
Professor, University of Oxford
Caio César Teodoro Mendes
Universidade de São Paulo
Co-author 3
Co-author 4
Sebastien Bubeck
OpenAI
Co-author 6
Co-author 7
Suriya Gunasekar
MSR Redmond
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